Gudivada V.N., Raghavan V.V., Govindaraju V.,Rao C.R. (Eds.) Cognitive Computing: Theory and Applications

Amsterdam: North Holland, 2016. — 381 p. — (Handbook of Statistics 35).Cognitive Computing: Theory and Applications, written by internationally renowned experts, focuses on cognitive computing and its theory and applications, including the use of cognitive computing to manage renewable energy, the environment, and other scarce resources, machine learning models and algorithms, biometrics, Kernel Based Models for transductive learning, neural networks, graph analytics in cyber security, neural networks, data driven speech recognition, and analytical platforms to study the brain-computer interface.
Comprehensively presents the various aspects of statistical methodologyDiscusses a wide variety of diverse applications and recent developmentsContributors are internationally renowned experts in their respective areasCognitive Computing: Concepts, Architectures, Systems, and Applications
Cognitive Computing and Neural Networks: Reverse Engineering the Brain
Visual Analytic Decision-Making Environments for Large-Scale Time-Evolving Graphs
CyGraph: Graph-Based Analytics and Visualization for Cybersecurity
Cognitive Analytics: Going Beyond Big Data Analytics and Machine Learning
A Cognitive Random Forest: An Intra- and Intercognitive Computing for Big Data Classification Under Cune Condition
Bayesian Additive Regression Tree for Seemingly Unrelated Regression with Automatic Tree Selection
Cognitive Systems for the Food–Water–Energy Nexus t
Cognitive Computing Applications in Education and Learning
Large Scale Data Enabled Evolution of Spoken Language Research and Applications
The Internet of Things and Cognitive Computing